AI’s Evolution in Finance from Regression Models to Reinforcement Learning

3 min read

The financial sector, with its intricate web of data and rapidly changing conditions, has always been a natural breeding ground for technological innovation. In recent decades, the convergence of artificial intelligence (AI) and finance has led to transformative changes in the industry. This article looks into the complex world of artificial intelligence’s evolution in finance, following it from simple regression models to the cutting-edge realm of reinforcement learning. The Early Days: Regression Models Regression models dominated the early explorations of AI into finance. By using statistical techniques to financial data, these models provided the groundwork for quantitative finance. The theory…...

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Manas Joshi Manas is a seasoned senior software engineer at Microsoft, where he leverages his expertise in AI and ML to enhance large scale backend systems used by millions of people everyday globally. He was a founding member of Bing Shopping Experiences, where he lead and designed numerous projects, imprinting a lasting mark with his innovative approaches. He has published award winning research paper during his work at Microsoft. Now, at Bing Maps, he is the driving force behind efforts to revolutionize navigation technology, working tirelessly to improve user experiences globally. Beyond his primary full time role, Manas embodies a philanthropic spirit, founding FullVision AI, a non-profit aimed at making glaucoma detection both accessible and affordable through AI-enhanced visual field tests.